Adaptive fuzzy control for nonstrict-feedback stochastic nonlinear systems with full-state constraints and unknown dead zone

This article focuses on adaptive fuzzy control for uncertain stochastic nonlinear systems in nonstrict-feedback form accompany with full-state constraints and dead-zone. In order to improve the performance of the system, some barrier Lyapunov functions are introduced to limit the states of the system within desired ranges. By integrating fuzzy logic systems (FLSs) and backstepping approach into this paper, an excellent adaptive fuzzy controller is developed, which can ensure that all variables are meeting the expected results of semi-globally uniform boundedness. Meanwhile, the tracking error can be tend to zero with the adjustment of the parameters online. An example is provided to certify the effectiveness of the proposed method.